Categorize Revolut transactions automatically with GPT-4 and Supabase
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2500 executions/month
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Revolut Extracts Analyzer
This n8n template processes Revolut statements, normalizes transactions, and uses AI to categorize expenses automatically.
Use cases include detecting subscriptions, separating internal transfers, and building dashboards to track spending.
How it works
- Get Categories from Supabase
- Download & Transform
- Loop Over Items
- LLM Categorizer
- Insert into Supabase
How to use
- Start with the manual trigger node or replace it with a schedule/webhook.
- Connect Google Drive to provide Revolut CSV files.
- Ensure Supabase has tables for
transactionsandcategories. - Extend with notifications, reports, or BI tools.
Requirements
- Google Drive for CSV files
- Supabase tables for categories & transactions
- LLM provider (OpenAI/Gemini)